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modified some data sets to be more diverse (e.g. different industries)
Browse files
app.py
CHANGED
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@@ -44,29 +44,29 @@ BASE_SETS = {
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"boxing","skiing","snowboarding","surfing","skateboarding","karate","judo","fencing","rowing","badminton",
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"cricket","table tennis","gymnastics","hockey","climbing"
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],
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"
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"neural network","transformer","embedding","fine-tuning","vector database",
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"retrieval-augmented generation","prompt","agent","
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"
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],
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"
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"
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],
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"finance": [
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"
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"
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"
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],
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"ai pioneers": [
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"Geoffrey Hinton","Yann LeCun","Yoshua Bengio","Andrew Ng","Demis Hassabis",
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"Sam Altman","Dario Amodei","Fei-Fei Li","Sebastian Raschka","Jensen Huang",
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"Ilya Sutskever","Jeff Dean","Ian Goodfellow","Chris Olah","Andrej Karpathy",
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"Lex Fridman","Richard Sutton","Emad Mostaque","Timnit Gebru","Elon Musk"
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],
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}
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"boxing","skiing","snowboarding","surfing","skateboarding","karate","judo","fencing","rowing","badminton",
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"cricket","table tennis","gymnastics","hockey","climbing"
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],
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"ai_cs_concepts": [
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# AI concepts (10)
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"neural network","transformer","embedding","fine-tuning","vector database",
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"retrieval-augmented generation","prompt","agent","inference","self-attention",
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# Classical CS concepts (10)
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"algorithm","data structure","compiler","register","stack",
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"queue","binary tree","hash table","database","quicksort"
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],
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"tech_companies": [
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# AI / Tech (7)
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"OpenAI","Anthropic","Google","Microsoft","Meta","NVIDIA","Hugging Face",
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# Automotive (7)
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"Tesla","BMW","Mercedes-Benz","Volkswagen","Toyota","Ford","Volvo",
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# Pharma / Life Science (6)
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"Pfizer","Roche","Novartis","Johnson & Johnson","Bayer","BioNTech"
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],
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"finance": [
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# Core finance terms (10)
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"equity","bond","derivative","liquidity","leverage",
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"portfolio","valuation","capital","revenue","profit",
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# Currencies (10)
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"US dollar","euro","British pound","Japanese yen","Swiss franc",
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"Chinese yuan","Canadian dollar","Australian dollar","Indian rupee","Brazilian real"
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],
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}
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